Knowledge Graph Based Large Scale Network Security Threat Detection Techniques

Knowledge Graph Based Large Scale Network Security Threat Detection Techniques

This paper constructs a detection technique for large-scale network security threats based on a knowledge graph, extracts the attack features of network security threats using feature template FT, and combines the CNN layer, BiLSTM layer and CRF layer to establish FT-CNN-BiLSTM-CRF large-scale netwo...

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Bibliographic Details
Main Author: Hu Zhifeng
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
knowledge graph
network security threat
multi-step attack
anomaly score distribution
ft-cnnbilstm-crf
05c82
Online Access:https://doi.org/10.2478/amns-2024-0046

Internet

https://doi.org/10.2478/amns-2024-0046

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